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kobertopic's Introduction

KoBERTopic

모델 소개

KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정했습니다.

  • 기존 BERTopic : https://github.com/MaartenGr/BERTopic/tree/05a6790b21009d1704e912e0d9ae22290694cfed
  • 토크나이저로는 형태소 분석기 Mecab을 사용.
  • BERT로는 다국어 SBERT인 'sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens'를 사용.
  • 토픽의 수는 임의로 50으로 결정.
  • 별도 불용어 제거 등의 추가 전처리는 진행하지 않았음. (진행할 경우 더 좋은 결과를 얻을 수 있을 것으로 기대.)

시각화 결과

kobertopic

참고) BERT 기반의 한국어 토픽 모델 깃허브

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kobertopic's Issues

궁금한점이 있습니다.

Bertopic 코드를 얼추 읽어보다가 여기서 사용하시는 tokenizer 는 vectorizer 에 들어가는거고, 실제 embedding 을 뽑기위해 넣는 input 전에는 Bertopic에서 구현해놓은 tokenizer를 쓰는 듯 하네요..? 혹시 맞을까요? 맞다면 이유가 있으신지 궁금합니다.

감사합니다.

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